1. Teachable Machine

Teachable Machine is a web-based tool that makes creating machine learning models fast, easy, and accessible to everyone. It's meant to be used by educators, artists, students, innovators, makers of all kinds – really, anyone who has an idea they want to explore. No prerequisite machine learning knowledge required.

2. Amazon CodeWhisperer

Amazon CodeWhisperer is a machine learning (ML)–powered service that helps improve developer productivity by generating code recommendations based on their comments in natural language and code in the integrated development environment (IDE).

3. Stable Diffusion

Stable Diffusion is a deep learning, text-to-image model released in 2022. It is primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text prompt.

4. Rtutor

RTutor is an AI-based app that can quickly generate and test R code. Powered by API calls to OpenAI's Davinci (ChatGPT's sibling), RTutor translates natural languages into R scripts, which are then executed within the Shiny platform.

5. AI CLI

Get answers for CLI commands from GPT3 right from your terminal.

6. Valyr

Simplify GPT-3 monitoring with one line of code. To use, replace the base url with the SDK. Add your OpenAI key to Valyr and view requests in the dashboard.

7. PromptLayer

PromptLayer is the first platform that allows you to track, and manage your GPT prompt engineering. PromptLayer acts a middleware between your code and OpenAI’s python library. PromptLayer records all your OpenAI API requests, allowing you to search and explore request history in the PromptLayer dashboard.

8. Retune

The ultimate tool for creating and monetizing fine-tuned language models using GPT-3. With re:tune, you can easily train and customize your own AI assistant for any industry or use case, and generate an API to integrate it into your own applications.

9. Bria

Integrate Bria’s AI-powered API to automate and scale the creation of video and images.

10. Nuclia

Nuclia automatically indexes your unstructured data from any internal and external source, providing optimized search results. It can handle video and audio transcription, image content extraction, and document parsing.

11. Chatbotkit

The simplest way to build advanced AI chat bots. Our platform makes it easy for developers and non-developers alike to build chatbots that can communicate with users in natural language.

12. GptDuck

Question answering against any Github repository. Input a Github repository, we will download it to the server and create embeddings against the code. Repos need to be public, <200 files, and <100MB.

13. Buildt

AI-powered search to find code by searching for what it does, not just what it is. Once you find the part of the codebase their AI allows you to make changes simply by describing what you want

14. HTTPie AI

Generate API requests using plain language. HTTPie is making APIs simple and intuitive for those building the tools of our time.

15. Textomap

Textomap is a web app and browser extension that enables users to generate interactive maps from any text containing locations in seconds. No code, spreadsheets, or complex tools - your words are enough.

16. Convai

Easy to use, Conversational AI APIs for Speech Recognition, Language Understanding and generation, and Text to Speech. Design your games and speech enabled applications. Design your conversation based Characters and Speech based games.

17. Riku.ai

Empowering you to build AI models without code. Use AI through integrations, API, or public share links. Accessible AI for everyone.

18. Mintlify

Build the documentation you've always wanted. Beautiful out of the box, easy to maintain, and optimized for user engagement.

19. GPUX.AI

GPU Everything. Run anything Dockerized. Run autoscale Inference. Save costs 50-90%.

20. Lightning AI

Build models and full-stack AI apps, lightning fast. Build models and AI-powered cloud applications using Lightning App templates without DIY infrastructure, cost management, scaling, and other headaches.

21. Liner.ai

Liner is a free tool that lets you train your ML models easily. It takes your training data and gives you an easy-to-integrate ML model. No coding or expertise in machine learning required.

22. Pipeline AI

Serverless GPU inference for ML models Pay-per-millisecond API to run ML in production.

23. Whisper

Whisper is a general-purpose speech recognition model. It is trained on a large dataset of diverse audio and is also a multi-task model that can perform multilingual speech recognition as well as speech translation and language identification.

24. SyntheticAldata

Accelerate Your Vision AI Model Creation. Synthetic data is an inexpensive alternative to real world data that is used to train and improve AI models. In order to train accurate AI models, a large amount of data is needed. With use of realistic 3D models you can easily create synthetic data for AI classification and object detection.

25. Shumai(Meta)

Shumai is an open-source, fast, network-connected, differentiable tensor library for TypeScript (and JavaScript). Built with bun + flashlight for software engineers and researchers alike.

26. Moonbeam Exchange

Moonbeam Exchange is a data science platform that leverages over 100 data sources to provide intelligence and insight to the entire innovation ecosystem.

27. RunPod

Rent Cloud GPUs from $0.2/hour. Save over 80% on GPUs. GPU rental made easy with Jupyter for PyTorch, Tensorflow or any other AI framework.

28. Stenography

Finally. Automatic Documentation.

29. Dust

Design and Deploy Large Language Model Apps. Prompt engineering, re-imagined🔥 Built on years of experience working with large language models. With one goal, help accelerate their deployment.

30. CSM

Common Sense Machines provides APIs, interfaces, and open source software to translate multi-modal inputs and experiences into a digital simulator for AI training and content creation. We believe that learning generative world models is a systematic path towards achieving AGI, similar to how a child learns about its world from experience.